Defect attention template generation cycleGAN for weakly supervised surface defect segmentation. - Shuanlong Niu; Bin Li 026; Xinggang Wang; Songping He; Yaru Peng (Pattern Recognit., 2022)

Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images. - Shuanlong Niu; Bin Li 026; Xinggang Wang; Yaru Peng (IEEE Trans. Ind. Informatics, 2022)

A transformed-feature-space data augmentation method for defect segmentation. - Shuanlong Niu; Yaru Peng; Bin Li 026; Xinggang Wang (Comput. Ind., 2023)

A novel deep learning motivated data augmentation system based on defect segmentation requirements. - Shuanlong Niu; Yaru Peng; Bin Li 026; Yuanhong Qiu; Tongzhi Niu; Weifeng Li (J. Intell. Manuf., 2024)